Hainan Cui

Papers

Total Citations

H-Index

About

Hainan Cui is a computer vision researcher whose work centers on 3D scene reconstruction, Structure-from-Motion (SfM), and visual localization — technologies fundamental to autonomous robotics, self-driving vehicles, and augmented reality. Cui's research is distinguished by a systematic focus on multi-camera systems and their unique challenges, as demonstrated in the widely cited "MCSfM: Multi-Camera-Based Incremental Structure-From-Motion" (2023, 18 citations) and "MMA: Multi-Camera Based Global Motion Averaging" (2022, 5 citations), both of which advance how intelligent robots perceive and reconstruct their surroundings using multi-camera rigs. A particularly notable contribution is the 2020 work on drone-and-robot collaborative indoor scene capture and reconstruction (17 citations), which addresses the twin demands of completeness and accuracy in 3D modeling — a practical challenge with broad real-world implications. More recently, Cui has pushed into efficient visual localization through lightweight line-map representations, reflecting a growing interest in making these systems computationally practical. With over 40 cumulative citations across a focused body of work, Cui's research consistently bridges theoretical innovation and applied robotics, making meaningful strides in how machines understand and navigate complex three-dimensional environments.